基于速度图的超声心动图边缘检测新方法

S. Khoor, F. Szaboki, J. Nieberl, M. Khoor, E. Kékes
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引用次数: 4

摘要

作者的自动图像处理方法创建超声心动图二维图像的小区域的速度图。这些物体的分离和匹配是基于它们的速度分布。面向对象的编程方法允许处理这样一个复杂的问题。与传统的墙体运动检测相比,自动化分析结果显示出良好的性能:计算机评分的特异性为84.4%,灵敏度为81.2%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method of echocardiographic edge detection using velocity maps
The authors' automated image processing method creates the velocity maps of the small regions of echocardiographic 2D images. The separation and matching of this objects are based on their velocity profiles. The object-oriented programming method allows the handling such a complex problem. The automated analysis showed a good performance comparing with the traditional wall motion detection: the specificity of computer scoring was 84.4%, the sensitivity 81.2%.<>
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